Modeling CO<sub>2</sub> absorption in aqueous solutions of DEA, MDEA, and DEA + MDEA based on intelligent methods

Abooali, Danial; Soleimani, Reza; Rezaei-Yazdi, Ali

doi:10.1080/01496395.2019.1575415

Cited by 18 publications

(9 citation statements)

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“… 41 , 42 The characteristic vibrations above the 700 cm –1 region are organic ligands and those below 700 cm –1 regions mainly belong to metal centers of Mg and Cu. 42 Several sharp and clear absorption peaks were observed at 1522, 1420, 890, and 823 cm –1 , which were ascribed to ν(−C=O), ν(−COO−), and ν(C–H) of benzene rings in H 4 dhtp ( Figure S1d ). 28 , 42 The sharp and weak peak at 1240 cm –1 is attributed to the stretching vibration of the C–O band of the phenolate group.…”

Section: Resultsmentioning

confidence: 99%

“…FT-IR was performed to detect the surface functional groups of samples under four synthesis conditions of various temperatures, time, solvents, and metal molar ratios (Figure S1d–f). According to the coordination characteristics of the MOF, all vibrations can be distinguished into two distinctive regions. , The characteristic vibrations above the 700 cm –1 region are organic ligands and those below 700 cm –1 regions mainly belong to metal centers of Mg and Cu . Several sharp and clear absorption peaks were observed at 1522, 1420, 890, and 823 cm –1 , which were ascribed to ν(−CO), ν(−COO−), and ν(C–H) of benzene rings in H 4 dhtp (Figure S1d).…”

Section: Resultsmentioning

confidence: 99%

“…Several sharp and clear absorption peaks were observed at 1522, 1420, 890, and 823 cm –1 , which were ascribed to ν(−CO), ν(−COO−), and ν(C–H) of benzene rings in H 4 dhtp (Figure S1d). , The sharp and weak peak at 1240 cm –1 is attributed to the stretching vibration of the C–O band of the phenolate group. Mg 0.2 Cu 0.8 -MOF-74 obtained under various preparation conditions exhibits the aforementioned characteristic peaks (from Figure S1d–f), which proves that Mg 0.2 Cu 0.8 -MOF-74 was successfully synthesized.…”

Section: Resultsmentioning

confidence: 99%

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One-Pot Method Synthesis of Bimetallic MgCu-MOF-74 and Its CO₂ Adsorption under Visible Light

et al. 2022

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A magnesium-based metal–organic framework (Mg-MOF-74) exhibits excellent CO 2 adsorption under ambient conditions. However, the photostability of Mg-MOF-74 for CO 2 adsorption is poor. In this study, Mg x Cu 1– x -MOF-74 was synthesized by using a facile “one-pot” method. Furthermore, the effects of synthesis conditions on the CO 2 adsorption capacity were investigated comprehensively. X-ray diffraction, Fourier transform infrared, scanning electron microscopy, thermo gravimetric analysis, inductively coupled plasma atomic emission spectroscopy, ultraviolet–visible spectroscopy and photoluminescence spectroscopy, and CO 2 static adsorption–desorption techniques were used to characterize the structures, morphology, and physicochemical properties of Mg x Cu 1– x -MOF-74. CO 2 uptake of Mg x Cu 1– x -MOF-74 under visible light illumination was measured by the CO 2 static adsorption test combined with the Xe lamp. The results revealed that Mg x Cu 1– x -MOF-74 exhibited excellent photocatalytic activity. Furthermore, the CO 2 adsorption capacity of Mg x Cu 1– x -MOF-74 was excellent at a synthesis temperature and time of 398 K and 24 h in dimethylformamide (DMF)-EtOH-MeOH mixing solvents, respectively. Mg x Cu 1– x -MOF-74 retained a crystal structure similar to that of the corresponding monometallic MOF-74, and its CO 2 uptake under visible light was superior to that of the corresponding monometallic MOF-74. Particularly, the CO 2 uptake of Mg 0.4 Cu 0.6 -MOF-74 under Xe lamp illumination for 24 h was the highest, up to 3.52 mmol·g –1 , which was 1.18 and 2.09 times higher than that of Mg- and Cu-MOF-74, respectively. The yield of the photocatalytic reduction of CO 2 to CO was 49.44 μmol·g cat –1 over Mg 0.4 Cu 0.6 -MOF-74 under visible light for 8 h. Mg 2+ and Cu 2+ functioned as open alkali metal that could adsorb and activate CO 2 . The synergistic effect between Mg and Cu metal strengthened Mg x Cu 1– x -MOF-74 photostability for CO 2 adsorption and broadened the scope of its photocatalytic application. The “bimetallic” strategy exhibits considerable potential for use in MOF-based semic...

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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One-Pot Method Synthesis of Bimetallic MgCu-MOF-74 and Its CO₂ Adsorption under Visible Light

et al. 2022

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“…7 Among these technologies, amine absorption is broadly applied in industries. Monoethanolamide (MEA), 8,9 methyldiethanolamine (MDEA), 10 and diethanolamine (DEA) 11,12 are commonly used amine solvents for CO 2 absorption. However, there are some limitations for these absorbents, such as easy volatility and high energy consumption for desorption process.…”

Section: Introductionmentioning

confidence: 99%

State of the art of ionic liquid‐modified adsorbents forCO₂capture and separation

Zheng

Zeng

et al. 2021

AIChE Journal

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The enormous emission of carbon dioxide (CO 2 ) from industries has triggered a series of environmental issues. In recent years, ionic liquids (ILs) as novel absorbents are widely used for CO 2 capture owing to their low vapor pressure and tunable structures. IL-modified adsorbents have the advantages of both ILs and porous supports, such as high CO 2 selectivity and high specific surface area, which are novel agents to capture CO 2 with broad application prospects. In this review, more than 140 IL-modified adsorbents for CO 2 capture in recent years were systematically summarized. The types of ILs including conventional ILs and functionalized ILs on CO 2 separation performance of different IL hybrid adsorbents, and their adsorption mechanisms were also discussed. Finally, future perspectives on IL-modified adsorbents for CO 2 separation were further posed.

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“…Based on these facts, it is highly desirable to apply alternative advanced soft computing methods to address problems associated with traditional methods in calculating the gas solubility in polymers. Successful application of soft computing techniques, such as artificial neural networks (ANN), genetic programming (GP), support vector machines (SVM), decision tree (DT)‐based algorithms, and the adaptive neuro fuzzy inference system (ANFIS), in various areas have been reported in the literature .…”

Section: Introductionmentioning

confidence: 99%

Evolving an Accurate Decision Tree‐Based Model for Predicting Carbon Dioxide Solubility in Polymers

et al. 2020

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Solubility is one of the most indispensable physicochemical properties determining the compatibility of components of a blending system. Research has been focused on the solubility of carbon dioxide in polymers as a significant application of green chemistry. To replace costly and time‐consuming experiments, a novel solubility prediction model based on a decision tree, called the stochastic gradient boosting algorithm, was proposed to predict CO2 solubility in 13 different polymers, based on 515 published experimental data lines. The results indicate that the proposed ensemble model is an effective method for predicting the CO2 solubility in various polymers, with highly satisfactory performance and high efficiency. It produces more accurate outputs than other methods such as machine learning schemes and an equation of state approach.

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Modeling CO₂ absorption in aqueous solutions of DEA, MDEA, and DEA + MDEA based on intelligent methods

Cited by 18 publications

References 30 publications

One-Pot Method Synthesis of Bimetallic MgCu-MOF-74 and Its CO₂ Adsorption under Visible Light

One-Pot Method Synthesis of Bimetallic MgCu-MOF-74 and Its CO₂ Adsorption under Visible Light

State of the art of ionic liquid‐modified adsorbents forCO₂capture and separation

Evolving an Accurate Decision Tree‐Based Model for Predicting Carbon Dioxide Solubility in Polymers

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Modeling CO2 absorption in aqueous solutions of DEA, MDEA, and DEA + MDEA based on intelligent methods

Cited by 18 publications

References 30 publications

One-Pot Method Synthesis of Bimetallic MgCu-MOF-74 and Its CO2 Adsorption under Visible Light

One-Pot Method Synthesis of Bimetallic MgCu-MOF-74 and Its CO2 Adsorption under Visible Light

State of the art of ionic liquid‐modified adsorbents forCO2capture and separation

Evolving an Accurate Decision Tree‐Based Model for Predicting Carbon Dioxide Solubility in Polymers

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Product

Resources

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Modeling CO₂ absorption in aqueous solutions of DEA, MDEA, and DEA + MDEA based on intelligent methods

One-Pot Method Synthesis of Bimetallic MgCu-MOF-74 and Its CO₂ Adsorption under Visible Light

One-Pot Method Synthesis of Bimetallic MgCu-MOF-74 and Its CO₂ Adsorption under Visible Light

State of the art of ionic liquid‐modified adsorbents forCO₂capture and separation